Background Image
Table of Contents Table of Contents
Previous Page  30 / 42 Next Page
Information
Show Menu
Previous Page 30 / 42 Next Page
Page Background

RESEARCH ARTICLE

SA JOURNAL OF DIABETES & VASCULAR DISEASE

28

VOLUME 17 NUMBER 1 • JULY 2020

27. American Diabetes Association. Diagnosis and classification of diabetes mellitus.

Diabetes Care

2014;

37

(Suppl 1): S81–S90.

28. Craig CL, Marshall AL, Sjorstrom M, Bauman AE, Booth ML, Ainsworth BE,

et al.

International physical activity questionnaire: 12-country reliability and validity.

Med

Sci Sports Exercise

2003;

35

(8): 1381-1395.

29. Nkeh-Chungag BN, Sekokotla AM, Sewani-Rusike C, Namugowa A, Iputo JE.

Prevalence of hypertension and pre-hypertension in 13–17 year old adolescents

living in Mthatha – South Africa: a cross-sectional study.

Cent Eur J Public Health

2015;

23

(1): 59–64.

30. Noubiap JJ, Essouma M, Bigna JJ, Jingi AM, Aminde LN, Nansseu JR. Prevalence of

elevated blood pressure in children and adolescents in Africa: a systematic review

and meta-analysis.

Lancet Public Health

2017;

2

(8): e375–e386.

31. Falkner B. Recent advances in pediatric hypertension.

J Clin Hypertens

2012;

14

(6): 345.

32. Keetile M, Navaneetham K, Letamo G. Patterns and determinants of hypertension

in Botswana.

J Public Health

2015: 1–8.

33. Joubert J, Nkomazana O, Mompati K, Joubert L, Preux P-M, La Croix P,

et al.

A

community survey of cardiovascular risk factors in an urban population in Botswana

exploring potential for telemedicine.

Eur Res Telemed

2014;

3

(3): 95–103.

34. Lauer R, Clarke W. Childhood risk factors for high adult blood pressure: the

Muscatine Study.

Pediatrics

1989;

84

(4): 633–641.

35. Cinteza E, Balgradean M. Hypertension in Romanian children and adolescents: a

cross-sectional survey.

Maedica

2013;

8

(1): 5.

36. Moselakgomo VK, Toriola AL, Shaw BS, Goon DT, Akinyemi O. Body mass index,

overweight, and blood pressure among adolescent schoolchildren in Limpopo

province, South Africa.

Rev Paulista Pediat

2012;

30

(4): 562–569.

37. Sundar J, Adaikalam J, Parameswari S, Valarmarthi S, Kalpana S, Shantharam D.

Prevalence and determinants of hypertension among urban school children in the

age group of 13–17 years in, Chennai, Tamilnadu.

Epidemiology

2013;

3

(130):

2161–1165.

38. Ramanathan AS, Senguttuvan P, Prakash V, Vengadesan A, Padmaraj R. Budding

adult hypertensives with modifiable risk factors: ‘Catch them young’.

J Fam

Commun Med

2016;

23

(1): 38.

39. Chiolero A, Madeleine G, Gabriel A, Burnier M, Paccaud F, Bovet P. Prevalence of

elevated blood pressure and association with overweight in children of a rapidly

developing country.

J Hum Hypertens

2007;

21

(2): 120–127.

40. McNiece KL, Poffenbarger TS, Turner JL, Franco KD, Sorof JM, Portman RJ.

Prevalence of hypertension and pre-hypertension among adolescents.

J Pediat

2007;

150

(6): 640–644.

41. Salman Z, Kirk GD, DeBoer MD. High rate of obesity-associated hypertension

among primary schoolchildren in Sudan.

Int J Hypertens

2010; 2011.

42. Garrison RJ, Kannel WB, Stokes J, Castelli WP. Incidence and precursors of

hypertension in young adults: the Framingham Offspring Study.

Prevent Med

1987;

16

(2): 235–251.

43. Huang PL. A comprehensive definition for metabolic syndrome.

Dis Models

Mechan

2009;

2

(5–6): 231–237.

44. Oduwole AA, Ladapo TA, Fajolu IB, Ekure EN, Adeniyi OF. Obesity and elevated

blood pressure among adolescents in Lagos, Nigeria: a cross-sectional study.

BMC

Public Health

2012;

12

(1): 1.

45. Malete L, Motlhoiwa K, Shaibu S, Wrotniak BH, Maruapula SD, Jackson J,

et al.

Body image dissatisfaction is increased in male and overweight/obese adolescents

in Botswana.

J Obes

2013;

2013

: 763624.

46. Agbre-Yace ML, Oyenusi EE, Oduwole AO, Ake MD, Abodo JR. Prevalence of

diabetes mellitus among children and adolescents in the district of Abidjan in

Cote d’Ivoire: a population-based study.

J Diabetes Metab Disord

2015;

15

: 38.

47. Mbongwe B, Tapera R, Phaladze N, Lord A, Zetola NM. Predictors of smoking

among primary and secondary school students in Botswana

PLoS One

2017;

12

(4): e0175640.

48. Warren CW, Riley L, Asma S, Eriksen MP, Green L, Blanton C,

et al.

Tobacco use

by youth: a surveillance report from the Global Youth Tobacco Survey project.

Bull

Wld Health Organ

2000;

78

(7): 868–876.

49. Granville-Garcia AF, Clementino MA, Gomes MdNC, Firmino RT, Ribeiro GLA,

Siqueira MBLD. Alcohol consumption among adolescents: attitudes, behaviors

and associated factors.

Ciência Saúde Coletiva

2014;

19

(1): 7–16.

Yale study adds to evidence of diabetes drug’s link to heart risk

R

osiglitazone was associated with a

33% increased risk of a composite

cardiovascular event (heart attack,

heart failure, cardiovascular and non-

cardiovascular related death) compared

with controls, found a Yale analysis of

130 trials involving 48 000 patients.

This study is the most comprehensive

evaluation of the cardiovascular risk of

rosiglitazone ever done. Rosiglitazone

belongs to a class of drugs called

thiazolidinediones. It helps control blood

sugar levels in patients with type 2

diabetes, but it can also increase the risk

of serious heart problems. This has led

to suspension of the drug in Europe and

previous restrictions on its use in the US.

However, since 2007, studies have

reported conflicting findings about

whether rosiglitazone increases the risk

of heart attacks. But these studies didn’t

have access to the raw data, also known

as individual patient-level data (IPD),

from clinical trials and mostly relied on

summary-level data (results reported in

publications and clinical trial registries),

which are not as reliable when estimating

the true safety profile of drugs.

Recent efforts by GlaxoSmithKline

(GSK), the maker of rosiglitazone, to make

IPD available to external investigators

prompted a team of US researchers

at Yale School of Public Health and

the Yale-New Haven Health System to

re-analyse the data and clarify some of

the uncertainties about rosiglitazone’s

cardiovascular risk. They analysed the

results of more than 130 trials involving

over 48 000 adult patients that compared

rosiglitazone with any control for at least

24 weeks. IPD were available for 33 trials,

which included 21 156 patients; the

remaining trials had only summary-level

data available.

When the researchers analysed the

IPD from trials made available by GSK,

they found rosiglitazone was associated

with a 33% increased risk of a composite

cardiovascular event (heart attack,

heart failure, cardiovascular and non-

cardiovascular related death) compared

with controls. This was estimated from the

274 events among 11 837 rosiglitazone

patients and 219 events among 9 319

control patients.

When examining cardiovascular events

independently, the analyses of the 33

GSK trials with IPD resulted in higher

estimates of the risk of heart attacks

than the analyses of trials with IPD and

summary-level data.

‘These findings highlight the potential

for different results derived from different

data sources, and demonstrate the need

for greater clinical trial transparency and

data sharing to accurately assess the

safety of drugs,’ say the researchers.

‘Our study suggests that when

evaluating drug safety and performing

meta-analyses focused on safety, IPD

might be necessary to accurately classify

all adverse events,’ they write. ‘By

including these data in research, patients,

clinicians and researchers would be able

to make more informed decisions about

the safety of interventions.’

They add: ‘Our study highlights the

need for independent evidence assessment

to promote transparency and ensure

confidence in approved therapeutics,

and post-market surveillance that tracks

known and unknown risks and benefits.’

Source: Medical Brief 2020